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The main goal of this trial is to validate a new method for colorectal polyp screening based on stool microbiome signatures. 600 Individuals who are scheduled / planned to undergo a colonoscopy will be recruited for this study and a stool sample and an optional saliva sample will be collected.
Analyze process will be conducted on the microbiome of the samples given.
Full description
Colorectal cancer (CRC) is the second cause of cancer death in the US. The pathogenesis of CRC is complex, involving a progressive transition of the healthy colonic mucosa to pre-cancerous polyps, and eventually to CRC. One of the factors that are proposed to cause this 'adenoma-carcinoma sequence' is the dysbiosis of the gut microbiome.
The gut microbiota has been identified as a potential screening biomarker for CRC, since studies have reported specific bacterial taxa and/ or microbial signatures as important factors in the etiology of CRC.
Hypothesis:
comprehensive and cutting-edge metagenomic analysis of the fecal microbiome of individuals with colonic polyps vs. patients without polyps will identify microbial signatures associated with colonic polyps and will define these microbial signatures as biomarkers and risk factors for CRC.
method:
Data analysis:
The stool and optional Saliva samples will be sent to metagenomic sequencing, thereby generating FASTQ libraries of the reads found in the stool & saliva samples. These files will be analyzed by the BiotaX diagnostics platform.
No Human DNA analysis will take place at this clinical study. Only a microbial analysis will take place.
Enrollment
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Inclusion criteria
Exclusion criteria
Subject has a history of colorectal cancer (CRC)
Subject has a diagnosis or medical history of any of the following conditions:
Subject has a diagnosis or personal history of inflammatory bowel disease (IBD), including chronic ulcerative colitis or Crohn's disease.
Patients with incapacitating systemic disease
Any use of antibiotics within one months prior to colonoscopy.
Primary purpose
Allocation
Interventional model
Masking
600 participants in 1 patient group
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Central trial contact
Naama Geva-Zatorsky, Ph.D; Shay Hilel
Data sourced from clinicaltrials.gov
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